TY - JOUR
T1 - Analysis and Prediction of Surface Crack Growth under Fatigue Loading
AU - Akramin, M. R.M.
AU - Husnain, M. N.M.
AU - Hasif, M.
AU - Shaari, M. S.
AU - Takahashi, Akiyuki
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2025
Y1 - 2025
N2 - This research uses several fatigue crack growth models to examine the cyclic evolution of fatigue cracks in a shaft. Three fatigue crack growth models are used to forecast crack growth: Walker, Paris Law, and others. Experimental data support these models. The main problem is accurately estimating the propagation of fractures in shafts under cyclic loads because the existing models frequently exhibit variations in real-world applications that could lead to failures. This study compares the experimental results with model predictions to assess the accuracy of several models and improve our understanding of fatigue crack behaviour in practical settings. The experimental approach for 4 point-bending is compared with the simulation result, including boundary conditions and material properties. Paris's and Walker's fatigue crack growth models are employed in the S-version Finite Element Model (S-FEM) to simulate the 4 point-bending models' analysis. The surface fatigue crack growth prediction is simulated and compared with the experimental results. The prediction beach marks of crack depth are slightly similar to the experimental results. Moreover, the prediction beach marks of crack length differ from the experimental results. The crack closure effect influences the difference between the experimental results. In summary, no single model is perfect in general; the selection is based on the particular circumstances and characteristics of the material. This work seeks to help engineers select the best model by improving prediction tools for maintaining mechanical components and increasing safety and performance in engineering applications.
AB - This research uses several fatigue crack growth models to examine the cyclic evolution of fatigue cracks in a shaft. Three fatigue crack growth models are used to forecast crack growth: Walker, Paris Law, and others. Experimental data support these models. The main problem is accurately estimating the propagation of fractures in shafts under cyclic loads because the existing models frequently exhibit variations in real-world applications that could lead to failures. This study compares the experimental results with model predictions to assess the accuracy of several models and improve our understanding of fatigue crack behaviour in practical settings. The experimental approach for 4 point-bending is compared with the simulation result, including boundary conditions and material properties. Paris's and Walker's fatigue crack growth models are employed in the S-version Finite Element Model (S-FEM) to simulate the 4 point-bending models' analysis. The surface fatigue crack growth prediction is simulated and compared with the experimental results. The prediction beach marks of crack depth are slightly similar to the experimental results. Moreover, the prediction beach marks of crack length differ from the experimental results. The crack closure effect influences the difference between the experimental results. In summary, no single model is perfect in general; the selection is based on the particular circumstances and characteristics of the material. This work seeks to help engineers select the best model by improving prediction tools for maintaining mechanical components and increasing safety and performance in engineering applications.
UR - http://www.scopus.com/inward/record.url?scp=85216852585&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2933/1/012008
DO - 10.1088/1742-6596/2933/1/012008
M3 - Conference article
AN - SCOPUS:85216852585
SN - 1742-6588
VL - 2933
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012008
T2 - 3rd International Postgraduate Conference on Mechanical Engineering 2024, IPCME 2024
Y2 - 3 October 2024
ER -